Reviewing and refining AI-generated content related to data architecture and system design
Evaluating outputs for structural accuracy, scalability, and real-world applicability
Drafting realistic architecture scenarios, including industry use-cases for data pipelines, integration, warehousing, and governance
Assessing AI reasoning on topics such as data modeling, database optimization, ETL processes, security, and compliance
Identifying gaps or misinterpretations in architectural methodology or design
Creating scenario variations from diverse stakeholder perspectives (e.g., architect, engineer, business leader)

Requirements

A data architect, data engineer, or enterprise systems expert
Based in the EU or UK
Seasoned with several years of experience in database design, data architecture, or large-scale data systems
Proficient with modern data ecosystem tools, architectural patterns, and compliance frameworks
Skilled at spotting design flaws, unrealistic assumptions, or structural risks
Available 8 to 20 hours per week
Able to start in the coming weeks

Benefits

Flexible hours
Fully remote
Apply your data architecture expertise to advance AI technologies
Contribute to widely used AI products
Clear project scope and structured onboarding
Potential for long-term collaboration based on performance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturesystem designdatabase designdata modelingdatabase optimizationETL processesdata pipelinesdata warehousingdata governancearchitectural patterns

Soft Skills

evaluating outputsspotting design flawsidentifying gapscreating scenario variationsstakeholder communication